Filter News
Area of Research
- (-) Sensors and Controls (1)
- Advanced Manufacturing (8)
- Biology and Environment (79)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (130)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (9)
- Isotopes (1)
- Materials (112)
- Materials for Computing (18)
- Mathematics (1)
- National Security (19)
- Neutron Science (103)
- Nuclear Science and Technology (17)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Renewable Energy (1)
- Supercomputing (91)
News Type
Date
News Topics
Media Contacts
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.